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50432910
Applied Multivariate Statistics for the Social Sciences
89% of respondents would recommend this to a friend
Item #:
50432910
BZD 405
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Provides advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies.
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What Stands Out
Comprehensive Coverage
This edition provides extensive coverage of multivariate statistical methods tailored for social sciences, ensuring learners acquire a thorough understanding of complex data analysis techniques.
Practical Examples
Incorporating real-world examples, this textbook bridges theory and practice, enabling students to apply statistical concepts effectively in social science research settings.
User-Friendly Approach
With clear explanations and step-by-step procedures, this edition makes multivariate statistics accessible to students at all levels, enhancing their ability to grasp and utilize statistical tools.
Product Details
- Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include:NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this newer procedure and how it can be used in conventional and multilevel settingsNEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articlesNEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete dataCompletely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting resultsNEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3)A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructors resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises). Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.
| Publisher | Routledge |
| Publication date | January 6, 2016 |
| Edition | 6th |
| Language | English |
| Print length | 814 pages |
| ISBN-10 | 0415836662 |
| ISBN-13 | 978-0415836661 |
| Item Weight | 3.1 pounds (1.41 kg) |
| Dimensions | 7 x 1.84 x 10 inches (17.8 x 4.7 x 25.4 cm) |
Who Should Buy?
-
Graduate Students
Ideal for graduate students pursuing degrees in social sciences who require an understanding of multivariate statistical methods.
-
Research Professionals
Beneficial for research professionals conducting studies that involve complex data analysis to draw valid conclusions.
-
Statistical Educators
Suitable for educators teaching statistics to social science students, providing comprehensive examples and practical applications.
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Beginner Statisticians
Not suitable for those new to statistics, as it assumes a foundational understanding of multivariate concepts.
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Probability & Statistics Editorial Review
Overall, the Applied Multivariate Statistics for the Social Sciences 6th Edition appears to be a very useful resource for those studying or practicing statistics at a postgraduate level. The book is clear and written with minimal jargon, making it accessible to readers. It provides a thorough coverage of multivariate analysis, which reviewers found helpful. The inclusion of practical examples and datasets make it a must-buy for those working with statistics. However, one reviewer noted that the book may be challenging for those who struggle to conceptualize statistical principles and models.
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Pros
- Clear and well-written
- Thorough coverage of multivariate analysis
- Access to practical examples and datasets
Cons
- May be challenging for those who struggle with statistical principles and models
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Features & Benefits
- 6th edition of Applied Multivariate Statistics for the Social Sciences
- Includes practical guidelines for data analysis, interpretation, and reporting
- Features new chapters on Logistic Regression and Multivariate Multilevel Modeling
- Revised chapters on Factor Analysis, Hierarchical Linear Modeling, and Structural Equation Modeling
- Updated syntax and resources for IBM SPSS/SAS
- Ideal for graduate-level courses in social sciences
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